CVE-2026-18982: CWE-250
Source GCVE Database
Not known to be exploited · CVSS 8.8 High : patch Red Hat OpenShift AI 2.25 soon.
Data as of 11 Nov 2026, 23:24 UTC
- EPSS
- 0.7% chance of exploitation in 30 days – higher than 56% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 10 Aug 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 11 Nov 2026.
What to do
Patches and advisories
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Red HatRed Hat OpenShift AI 2.25 | Affected– | Fixed in– |
| Red HatRed Hat OpenShift AI 3.3 | Affected– | Fixed in– |
| Red HatRed Hat OpenShift AI 3.4 | Affected– | Fixed in– |
| Red HatRed Hat OpenShift AI 3.4 | Affected– | Fixed in– |
| Red HatRed Hat OpenShift AI 3.5 | Affected– | Fixed in– |
| Red HatRed Hat OpenShift AI 3.5 | Affected– | Fixed in– |
AI-suggested
Red Hat has released updated RHOAI images (2.25.10 and 3.4.3) that address this vulnerability. Users should upgrade their Red Hat OpenShift AI clusters to these versions following the official Red Hat documentation to fully apply the errata update. No other specific mitigations are indicated by the vendor advisory.
Description
A vulnerability in the RHOAI training-operator allows users with standard edit or admin roles in any Kubernetes namespace to escalate privileges. By creating training jobs, attackers can impersonate service accounts, access the host filesystem, and potentially execute arbitrary code remotely. This issue is due to the aggregation of training job permissions onto native Kubernetes edit and admin ClusterRoles combined with unrestricted PodTemplateSpec passthrough. The vulnerability has a high severity CVSS score of 8.8. Red Hat has released updated images for Red Hat OpenShift AI to address this issue and provides documentation for upgrading clusters to mitigate the risk.
References
- nvd.nist.gov/vuln/detail/CVE-2026-18982 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:53261 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:53262 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:53263 (opens in a new tab)
- access.redhat.com/security/cve/CVE-2026-18982 (opens in a new tab)
- bugzilla.redhat.com/show_bug.cgi?id=2511648 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:60367 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:60520 (opens in a new tab)